Machine Learning for Designers with Andreas Refsgaard

A hands on introduction to machine learning with a focus on creating your own interactive applications.

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28 August 09:30 - 13:30Designit's Education space

Get hands on with Machine Learning

Over the past few years, it has become clear that Artificial Intelligence and Machine Learning will shape user experience as much as designers do, perhaps even more. It can be difficult to get a grasp of what AI and ML actually are, how they work, and how we can use them to create better experiences and outcomes for our users.

To remedy this, we have invited interaction designer and digital artist Andreas Refsgaard to host a workshop on machine learning for designers. Andreas is an experienced instructor and his workshop at Interaction 18 in Lyon received excellent marks.

Practical information

When: 28th of August.

Time: from 9:30 to 13:30 (4 hours)

Where: Designit's Education space in Akersbakken 12, Oslo.

Content:

In this workshop interaction designer and digital artist Andreas Refsgaard will show how to make simple websites that can be trained to react to custom inputs from users.

The workshop will work as a hands on introduction to machine learning with a focus on creating your own interactive applications that live on the web.

Learn how to:

Make interactive websites that can learn and react to user input from the webcam

Train supervised machine learning algorithms in minutes

Use the friendly ml5js library that builds on top of Tensorflow.j

Requirements: Bring your own computer with a functional webcam and Google Chrome installed.

Price: Kr 3500 + MVAThis includes the full 4 hours workshop plus lunch and snacks for all participants.

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Speakers

Andreas Refsgaard

Andreas Refsgaard is an artist and creative coder based in Copenhagen.

He uses algorithms and machine learning to make unconventional connections between inputs and outputs, which allows people to play music using only eye movement and facial gestures, control games by making silly sounds, transform drawings of musical instruments on paper into real compositions and train algorithms to decide what is funny, funky or boring.

His works have been published in New Scientist, Vice, Gizmodo, PSFK and Designboom, awarded by Interaction Awards and Core77 and exhibited in museums and at festivals in Europe, North America, Asia and Australia.

Andreas has been a public speaker at international events like Mutation, openVTR, OEB Conference, DIGITEC, NextConf, Bump, Space10 and Roskilde Festival and taught workshops on creative computation, interaction design and machine learning at institutions like CIID, KIKK, ECAL, Umeå Institute of Design, LUCA School of Arts, Resonate, Hyper Island, Design School Kolding, ofCourse and SchoolOfMa.

Andreas is a regular contributor to [ml4a](https://ml4a.github.io/demos/), a free resource on machine learning for artists and regularly publishes videos, texts and tutorials in attempt to demystify machine learning and facilitate a greater public understanding of the subject.

Commercially he has worked with international clients like Google Creative Labs, Carlsberg, Philips and LittleBits and regularly takes on freelance work as a creative technologist.

Andreas holds a MSc IT from IT University of Copenhagen and a Bachelor in Sociology from University of Copenhagen and attended the Interaction Design Programme at Copenhagen Institute of Interaction Design.